Kyoung-Dae Kim (김경대)
Associate Professor, Electrical Engineering and Computer Science, DGIST
– Office: E3-212
– Phone: +82.53.785.6325
– Email: kkim@dgist.ac.kr
Education
- Ph.D., Electrical & Computer Engineering, University of Illinois at Urbana-Champaign
- M.S., Computer Science, University of Illinois at Urbana-Champaign
- M.S., Mechanical Engineering, Hanyang University
- B.S., Mechanical Engineering, Hanyang University
Past Positions
- Assistant Professor, Electrical & Computer Engineering, University of Denver, USA (September 2013 ~ August 2017)
- Postdoctoral Research Associate, Electrical & Computer Engineering, Texas A&M University, USA (August 2011 ~ August 2013)
Members
Current members:
- Ji Hwan Seo, Ph.D. Candidate, Electrical Engineering & Compute Science, DGIST
Previous members:
- Qiang Lu (Ph.D., Electrical & Computer Engineering, University of Denver, 2018)
- Tyler Friedl (M.S., Electrical & Computer Engineering, University of Denver, 2017)
- Joseph Casabona (M.S., Electrical & Computer Engineering, University of Denver, 2017)
- Mohammed Qasim (M.S., Electrical & Computer Engineering, University of Denver, 2016)
- Hyun Tae Lee (M.S., Information & Communication Engineering, DGIST, 2020)
- Sang Yong park (M.S., Information & Communication Engineering, DGIST, 2020)
- Jin Woo Lee (M.S., Information & Communication Engineering, DGIST, 2021)
- Sung Hoon Youn (M.S., Information & Communication Engineering, DGIST, 2021)
- Senong Kyung Kwon (Ph.D., Electrical Engineering & Computer Science, DGIST, 2022)
- Jung Eun Kim (M.S., Electrical Engineering & Computer Science, DGIST, 2023)
- Jun Young Yun (M.S. Electrical Engineering & Computer Science, DGIST, 2023)
- Minsu Kim (M.S., Electrical Engineering & Computer Science, DGIST, 2023)
Research
Research Statement:
Develop theories, tools, and software platforms for autonomous, reliable, and cooperative robotic systems using the tools in control theories, hybrid systems theories, optimization, real-time systems theories, statistical learning and decision making theories, etc. Application areas of interest are autonomous & connected smart transportation system, autonomous driving system, semi-autonomous robotic systems for intuitive and effortless human-machine interface, motion planning of manipulator for collaborative robotics, cooperative multi-agent systems, aerial/ground/underwater robots for search and rescue mission, etc.
On going research:
Safe and Live Connected & Autonomous (CA) Traffic System
- Model Predictive Control (MPC) for autonomous driving
- V2V interaction protocol for safety and liveness of highway traffic
- V2I interaction protocol for safety and liveness of intersection traffic
- Provably safe and live autonomous & connected traffic system
CA Network Of Intersection Traffic
CA MultilaneTraffic
Smart Intersection System
- Optimization for autonomous & connected intersection traffic management
- DNN (Deep Neural Network) for red-light-running (RLR) detection
- Risk-aware intersection traffic management
- Vehicle platooning for higher intersection crossing throughput
MICA
RLR
Autonomous Driving System
- Motion planning for collision free trajectory generation
- Autonomous driving maneuver decision making
- Robust end-to-end autonomous driving framework
End-to-End Approach
Virtual Point Pursuit
Planning & Control of UAV System
Potential Function Approach
- Motion planning and control for collision free UAV navigation
- Realtime local mapping, localization, and obstacle detection/tracking
- Intuitive teleoperation of UAV with local autonomy for collision avoidance
Collaborative Robotics
DRM Approach
- Control for safe physical human-robot interaction
- Realtime motion planning of high DOF manipulator for human-robot coexistence
- Task & Motion planning (T&P) for human-robot collaboration
Previous research:
- Real-time middleware for distributed control system
- Hybrid system analysis and reachable set computation
- Dynamic simulation and computed torque control of humanoid robot